List of selected publications

LIST OF SELECTED PUBLICATIONS

The research activity of Enzo Baccarelli leaded to more than 200 peer-reviewed scientific contributions and two international patents on nonlinear data equalisation. The updated full list of the publications of Enzo Baccarelli is available at the Google Scholar page. In the sequel, it is reported a short list of selected papers on the currently on-going main research topics.

• 1. M. Scarpiniti, E. Baccarelli, A. Momenzadeh, S. Sarv Ahrabi, “DeepFogSim: a toolbox for execution and performance evaluation of the inference phase of conditional deep nural networks with early exits atop distributed Fog platforms”, Applied Sciences, volume 11 issue 1, number 377, pages 1-42, January 2021.

  2. S. Scardapane, M. Scarpiniti, E. Baccarelli, A. Uncini, “Why should we add early exits to neural networks?”, Cognitive Computation, volume 12, issue 5, pages 954-966, September 2020.

  3. E. Baccarelli, S. Scardapane, M. Scarpiniti, A. Momenzadeh, A. Uncini, “Optimized training and scalable implementation of conditional deep neural networks with early exits for Fog-supported IoT applications”, Appl. Sci., volume 521, pages 107-143, June 2020.

  4. S. Scardapane, D. Comminiello, M. Scarpiniti, E. Baccarelli, A. Uncini, “Differentiable branching in deep networks for fast inference”, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing-Proceedings, volume 2020-May, number 9054209, Pages 4167-4171, May 2020.

  5. M. Scarpiniti, E. Baccarelli, A. Momenzadeh, A. Uncini, “SmartFog: training the Fog for the energy-saving analytics of Smart-Meter data”, Applied Sciences, volume 9, issue 19, number 4193, October 2019.

     1. E. Baccarelli, M. Scarpiniti, A. Momenzadeh, “EcoMobiFog–Design and Dynamic Optimization of a 5G Mobile-Fog-Cloud Multi-Tier Ecosystem for the Real-Time Distributed Execution of Stream Applications”, IEEE Access, vol. 7, pp. 55565-55608, April 2019.

  6. M. Scarpiniti, E. Baccarelli, A. Momenzadeh, “VirtFogSim: A Parallel Toolbox for Dynamic Energy-Delay Performance Testing and Optimization of 5G Mobile-Fog-Cloud Virtualized Platforms”, Applied Sciences, vol. 9, no. 6, p. 1160, March 2019.

  7. M. Shojafar, N.Cordeschi, E.Baccarelli, “Energy-efficient adaptiveresource management for real-time vehicular Cloud services”, IEEE Transactions on Cloud Computing, vol. 7, no. 1, pp. 196-209, January -March 2019.

  8. E. Baccarelli, M. Scarpiniti, A. Momenzadeh, ”Fog-supported delay-constrainedenergy-saving live migration of VMs over MultiPath TCP/IP 5G connections”, IEEE Access, vol. 6, no.1, pp. 42327-42354, August 2018.

  9. E. Baccarelli, M. Scarpiniti, P.G. Vinueza Naranjo, L. Vaca-Cardenas, “Fog of Social IoT: when the Fog becomes Social”, IEEE Network, vol.4, pp. 68-80, July-August 2018.

  10. P.G. Vinueza Naranjo, E. Baccarelli, M. Scarpiniti, “Design and energy-efficient resource management of virtualizednetworked Fog architectures for the real-time support of IoT applications”,Journal of Supercomputing, vol. 74, no. 6, June 2018.

• • 1. M. Scarpiniti, E. Baccarelli, P.G. Vinueza Naranjo, A. Uncini, “Energy Performance of Heuristics andMeta-heuristics for Real-time Joint Resource Scaling and Consolidation in Virtualized Networked Data Centers”, Journal of Supercomputing, vol. 74, no. 5, pp. 2161-2198, May 2018.

• 11. N. Cordeschi, D. Amendola, E. Baccarelli, “Fairness-constrained Optimized Time-WindowControllers for Secondary-Users with Primary-User Reliability Guarantees”,Computer Communications, vol. 116, pp. 63-76, January 2018.

  12. E. Baccarelli, P.G. Vinueza, M. Scarpiniti, M. Shojafar, J.H. Abawajy, “Fog of Everything: energy-efficientnetworked computing architectures, research challenges, and a case study”,IEEE Access, vol. 5, pp. 9882-9910, issue: 1, December 2017.

• • 1. M. Shojafar, Z. Pooranian, P.G. Vinueza, E. Baccarelli, “FLAPS: bandwidth and delay efficientdistributed data searching in Fog-supported P2P content delivery networks”, Journalof Supercomputing, vol. 73, no. 12, pp. 5239-5260, December 2017.

• 13. E. Baccarelli, P. G. Vinueza, M. Shojafar, M. Scarpiniti, “Q*: Energy anddelay-efficient dynamic queue management in TCP/IP virtualized data centers”,Computer Communications, vol. 102, pp. 89-106, April 2017.

  14. P.G. Vinueza, M. Shojafar, H. Mostafaei, Z. Pooranian, E. Baccarelli, “P-SEP: AProlong Stable Election Routing Algorithm for Energy-limited HeterogeneousFog-supported Wireless Sensor Networks”, Journal of Supercomputing, vol. 73, no. 2, pp. 733-755, February 2017.

  15. M. Shojafar, N. Cordeschi, E. Baccarelli, “Resource scheduling for Energy-Aware Reconfigurable Internet Data Centers”,in: Innovative Research and Applications in Next-Generation High Performance Computing, by Qusay F. Hassan (Ed.),IGI Global, July 2016.

1. E. Baccarelli, N. Cordeschi, A. Mei, M. Panella, M. Shojafar, J. Stefa, “Energy-efficient Dynamic Traffic Offloading and Reconfiguration of Networked Datacenters for BigData Stream Mobile Computing: Review, Challenges, and a Case Study”, IEEE Network, pp. 54-61, vol. 30, no. 2, March-April 2016.

2. E. Baccarelli, D. Amendola, N. Cordeschi, “Minimum-energy bandwidth management for QoS livemigration of virtual machines”, Computer Networks, Elsevier, vol. 93, Part 1, pp. 1-22, December 2015.